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MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis
15 November 2017
Rushil Anirudh
Jayaraman J. Thiagarajan
R. Sridhar
T. Bremer
FAtt
AAML
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Papers citing
"MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis"
7 / 7 papers shown
Title
Explaining Latent Representations with a Corpus of Examples
Jonathan Crabbé
Zhaozhi Qian
F. Imrie
M. Schaar
FAtt
84
38
0
28 Oct 2021
Graphs as Tools to Improve Deep Learning Methods
Carlos Lassance
Myriam Bontonou
Mounia Hamidouche
Bastien Pasdeloup
Lucas Drumetz
Vincent Gripon
GNN
AI4CE
AAML
87
0
0
08 Oct 2021
Graph signal processing for machine learning: A review and new perspectives
Xiaowen Dong
D. Thanou
Laura Toni
M. Bronstein
P. Frossard
94
168
0
31 Jul 2020
Deep geometric knowledge distillation with graphs
Carlos Lassance
Myriam Bontonou
G. B. Hacene
Vincent Gripon
Jian Tang
Antonio Ortega
56
39
0
08 Nov 2019
Improved Visual Localization via Graph Smoothing
Carlos Lassance
Yasir Latif
Ravi Garg
Vincent Gripon
Ian Reid
50
2
0
07 Nov 2019
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks
Kaixuan Zhang
Qinglong Wang
Xue Liu
C. Lee Giles
TDI
33
3
0
15 Oct 2019
Introducing Graph Smoothness Loss for Training Deep Learning Architectures
Myriam Bontonou
Carlos Lassance
G. B. Hacene
Vincent Gripon
Jian Tang
Antonio Ortega
59
18
0
01 May 2019
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